{"id":1165,"date":"2026-01-25T19:28:13","date_gmt":"2026-01-25T19:28:13","guid":{"rendered":"https:\/\/www.cs.ubbcluj.ro\/~meco\/more-than-meets-the-eye-using-textural-analysis-and-artificial-intelligence-as-decision-support-tools-in-prostate-cancer-diagnosis-a-systematic-review-2022\/"},"modified":"2026-02-01T12:08:40","modified_gmt":"2026-02-01T12:08:40","slug":"more-than-meets-the-eye-using-textural-analysis-and-artificial-intelligence-as-decision-support-tools-in-prostate-cancer-diagnosis-a-systematic-review-2022","status":"publish","type":"post","link":"https:\/\/www.cs.ubbcluj.ro\/~meco\/more-than-meets-the-eye-using-textural-analysis-and-artificial-intelligence-as-decision-support-tools-in-prostate-cancer-diagnosis-a-systematic-review-2022\/","title":{"rendered":"More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis\u2014A Systematic Review (2022)"},"content":{"rendered":"<div class=\"entry-content\">\n<p>Journal of Personalized Medicine<\/p>\n<h2>Authors<\/h2>\n<p>T. Telecan, I. Andra\u0219, N. Crisan, Lorin Giurgiu, E. C\u0103ta, C. Caraiani, A. Lebovici, B. Boca, Z. B\u00e1lint, L. Dio\u015fan, M. Lup\u0219or-Platon<\/p>\n<h2>Abstract<\/h2>\n<p>Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the indication for targeted prostate biopsy. However, both mpMRI and targeted prostate biopsy are operator dependent. The past decade has been marked by the emerging domain of radiomics and artificial intelligence (AI), with extended application in medical diagnosis and treatment processes. (2) Aim: To present the current state of the art regarding decision support tools based on texture analysis and AI for the prediction of aggressiveness and biopsy assistance. (3) Materials and Methods: We performed literature research using PubMed MeSH, Scopus and WoS (Web of Science) databases and screened the retrieved papers using PRISMA principles. Articles that addressed PCa diagnosis and staging assisted by texture analysis and AI algorithms were included. (4) Results: 359 papers were retrieved using the keywords \u201cprostate cancer\u201d, \u201cMRI\u201d, \u201cradiomics\u201d, \u201ctextural analysis\u201d, \u201cartificial intelligence\u201d, \u201ccomputer assisted diagnosis\u201d, out of which 35 were included in the final review. In total, 24 articles were presenting PCa diagnosis and prediction of aggressiveness, 7 addressed extracapsular extension assessment and 4 tackled computer-assisted targeted prostate biopsies. (5) Conclusions: The fusion of radiomics and AI has the potential of becoming an everyday tool in the process of diagnosis and staging of the prostate malignancies.<\/p>\n<h2>Citation<\/h2>\n<pre class=\"wp-block-preformatted\">@Inproceedings{Telecan2022MoreTM,\n author = {T. Telecan and I. Andra\u0219 and N. Crisan and Lorin Giurgiu and E. C\u0103ta and C. Caraiani and A. Lebovici and B. Boca and Z. B\u00e1lint and L. Dio\u015fan and M. Lup\u0219or-Platon},\n booktitle = {Journal of Personalized Medicine},\n title = {More than Meets the Eye: Using Textural Analysis and Artificial Intelligence as Decision Support Tools in Prostate Cancer Diagnosis\u2014A Systematic Review},\n year = {2022}\n}<\/pre>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Introduction: Multiparametric magnetic resonance imaging (mpMRI) is the main imagistic tool employed to assess patients suspected of harboring prostate cancer (PCa), setting the indication for targeted prostate biopsy. However, both mpMRI and targeted prostate biopsy are operator dependent. The past decade has been marked by the emerging domain of radiomics and artificial intelligence (AI), with extended application in medical diagnosis and treatment processes. (2) Aim: To present the current state of the art regarding decision support tools based on texture analysis and AI for the prediction of aggressiveness and biopsy assistance. (3) Materials and Methods: We performed literature research using PubMed MeSH, Scopus and WoS (Web of Science) databases and screened the retrieved papers using PRISMA principles. Articles that addressed PCa diagnosis and staging assisted by texture analysis and AI algorithms were included. (4) Results: 359 papers were retrieved using the keywords \u201cprostate cancer\u201d, \u201cMRI\u201d, \u201cradiomics\u201d, \u201ctextural analysis\u201d, \u201cartificial intelligence\u201d, \u201ccomputer assisted diagnosis\u201d, out of which 35 were included in the final review. In total, 24 articles were presenting PCa diagnosis and prediction of aggressiveness, 7 addressed extracapsular extension assessment and 4 tackled computer-assisted targeted prostate biopsies. (5) Conclusions: The fusion of radiomics and AI has the potential of becoming an everyday tool in the process of diagnosis and staging of the prostate malignancies.<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":[],"categories":[4],"tags":[40,9,37,41,39,38],"_links":{"self":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1165"}],"collection":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/comments?post=1165"}],"version-history":[{"count":1,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1165\/revisions"}],"predecessor-version":[{"id":1511,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/posts\/1165\/revisions\/1511"}],"wp:attachment":[{"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/media?parent=1165"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/categories?post=1165"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cs.ubbcluj.ro\/~meco\/wp-json\/wp\/v2\/tags?post=1165"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}